Photo file: 
Full name: 
Mark Andrew Davenport
Job title: 
Assistant Professor
Technical Interest Groups: Digital Signal Processing
Email address: 
Work phone: 
Cent 5212

Dr. Davenport received the B.S.E.E. (2004), M.S. (2007), and Ph.D. (2010) degrees in Electrical and Computer Engineering, all from Rice University. He spent 2010 to 2012 as an NSF Mathematical Sciences Postdoctoral Research Fellow in the Department of Statistics at Stanford University and the summer of 2011 as a visitor at the Laboratoire Jacques-Louis Lions, Université Pierre et Marie Curie. He joined the Georgia Tech faculty in July 2012 as a member of the Center for Signal and Image Processing.

Dr. Davenport's research interests include compressive sensing, low-rank matrix recovery, nonlinear approximation, and the application of low-dimensional signal models in signal processing and machine learning. Dr. Davenport shared the Hershel M. Rich Invention Award in 2007 for his work on the single-pixel camera and compressive sensing, and in 2011 he received the Ralph Budd Thesis Award from Rice University.

Research interests: 
  • Statistical signal processing
  • Machine learning
  • Low-dimensional signal models
  • Compressive sensing and low-rank matrix recovery
  • Ralph Budd Award for Best Thesis in the George R. Brown School of Engineering (Rice University), 2011
  • NSF Mathematical Sciences Postdoctoral Research Fellowship, 2010
  • Hershel M. Rich Outstanding Invention Award (Rice University), 2007
  • Member of Tau Beta Pi and Eta Kappa Nu

M. A. Davenport, M. F. Duarte, Y. C. Eldar, and G. Kutyniok, “Introduction to compressed sensing,” in Compressed Sensing: Theory and Applications, Cambridge University Press, 2012.

J. N. Laska, P. T. Boufounos, M. A. Davenport, and R. G. Baraniuk, “Democracy in action: Quantization, saturation, and compressive sensing,” Applied and Computational Harmonic Analysis, 31(3) pp. 429—443, November 2011.

M. A. Davenport, P. T. Boufounos, M. B. Wakin, and R. G. Baraniuk, “Signal processing with compressive measurements,” IEEE J. of Selected Topics in Signal Processing, 4(2) pp. 445—460, April 2010.

M. A. Davenport and M. B. Wakin, “Analysis of orthogonal matching pursuit using the restricted isometry property,” IEEE Trans. on Information Theory, 56(9) pp. 4395—4401, September 2010.

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Processing Magazine, 25(2) pp. 83—91, March 2008.

R. G. Baraniuk, M. A. Davenport, R. A. DeVore, and M. B. Wakin, “A simple proof of the restricted isometry property for random matrices,” Constructive Approximation, 28(3) pp. 253—263, December 2008.

Last revised May 4, 2016

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